偏倚风险评估图(risk of bias)是meta分析中常见的图形,用来可视化研究质量,大家最熟知的应该是用Revman软件做的。
R语言作为一款统计分析软件,进行meta分析也是小菜一碟,画风险偏倚评估图也是不在话下的。
今天就给大家介绍一个专门画风险偏倚评估图的R包!
install.packages("robvis")
library(robvis)
支持多种质量评价工具,比如ROB2:
rob_summary(data_rob2, tool = "ROB2")
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或者ROBINS-I:
rob_summary(data_robins, tool = "ROBINS-I")
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QUADAS-2:
rob_summary(data_quadas, tool = "QUADAS-2", overall = TRUE)
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支持自定义颜色:
rob_summary(data = data_rob2, tool = "ROB2", colour = "colourblind")
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rob_summary(data = data_rob2, tool = "ROB2", colour = c("#f442c8","#bef441","#000000"))
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当然meta分析常见的信号灯图也是可以画的。
rob_traffic_light(data_rob2, tool = "ROB2")
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但是这个R包只支持以上3种方法的文献评价,对于非随机对照实验常用的MINORS等,还有NOS量表等,并不支持哦~